---
library_name: transformers
base_model: BytArch/source-mini
tags:
- generated_from_trainer
model-index:
- name: source-mini
  results: []
license: mit
datasets:
- BytArch/ub-data-structures-2025-1
- BytArch/ub-networking-dataset-2024-2
- BytArch/ub-web-dev-2025-2
- BytArch/source-mini-id
language:
- en
metrics:
- accuracy
- character
new_version: BytArch/source-mini
pipeline_tag: text-generation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# source-mini

This model is a fine-tuned version of [BytArch/source-mini](https://huggingface.co/BytArch/source-mini) on the None dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0